Prof. Chong Hyun Lee | Deep Learning | Best Researcher Award

Published on 28/10/202528/10/2025 by Mechanics Awards

Prof. Chong Hyun Lee | Deep Learning | Best Researcher Award

Professor | Jeju National University | South Korea

Dr. Chong Hyun Lee is a distinguished researcher and academic in the fields of electronics, power transfer systems, ocean system engineering, and applied signal processing, with a prolific research record and recognized scientific excellence. As a long-standing IEEE member, Dr. Lee has made significant contributions to the advancement of electronic and communication technologies through innovation, leadership, and collaborative research. His work has been recognized with prestigious honors, including the Best Science and Technology Paper Award from the Korean Federation of Science and Technology Societies (KOFST) and the Best Paper Award in Ocean System Engineering from the Institute of Electronics and Information Engineers in South Korea, reflecting his high academic impact and technical expertise. Dr. Lee’s research encompasses a wide range of advanced topics, including compact impedance matching circuits for wideband power transfer in Janus Helmholtz transducers, weakly supervised graph neural networks for line spectrum extraction, and DC power boosting circuits for triboelectric nanogenerators with high intrinsic impedance and multi-harmonic output. His interdisciplinary work bridges marine engineering, electronics, and nanogenerator technologies, offering practical applications in sustainable energy systems, signal processing, and sensor innovation.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

Lee, C. H., & co-authors. (2024). DC power boosting circuit for freestanding-sliding triboelectric nanogenerators with high intrinsic impedance and multi-harmonic output. Advanced Materials Technologies.

Lee, C. H., & co-authors. (2024). Passive sonar signal classification using graph neural network based on image patch. Journal of the Acoustical Society of Korea.

Lee, C. H., & co-authors. (2023). Encoding and decoding-based normalizing flows for image anomaly localization. Electronics Letters.

Lee, C. H., & co-authors. (2023). Abnormal sonar signal detection using recurrent neural network and vector quantization. Journal of the Acoustical Society of Korea.

Sheeba Rachel S | Machine Learning | Best Researcher Award

Published on 12/09/202512/09/2025 by Mechanics Awards

Mrs. Sheeba Rachel S | Machine Learning| Best Researcher Award

Assistant Professor | Sri Sai Ram Engineering College | India

S. Sheeba Rachel has contributed extensively to the fields of artificial intelligence, machine learning, deep learning, healthcare technologies, smart devices, image processing, cloud computing, and Internet of Things with publications including Cardiovascular Disease Prediction Using Machine Learning and Deep Learning, Heart Disease Prediction of an Individual Using SVM Algorithm, Automated Driving License Testing System, Real-Time Face Detection and Identification Using Machine Learning Algorithm for Improving the Security in Public Places Using Closed Circuit Television, LEARNAUT – Upgraded Learning Environment and Web Application for Autism Environment Using AR-VR, VATTEN – A Smart Water Monitoring System, Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model, EDSYS – A Smart Campus Management System, TRACKME – Smart Watch for Women, Women’s Safety with a Smart Foot Device, Mental Health Monitoring Using Sentimental Analysis, Facilitation of Multipurpose Gloves for Impaired People, Extending OVS with Deep Packet Inspection Functionalities, Courier Service Management and Tracking Using Android Application, Detecting the Abandoned Borewell Using Image Processing, Smart Hospitals E-Medico Management System, ADROIT LIMB – Brain Controlled Artificial Limb, Autonomous Movable Packrat for Habitual Chores, Postal Bag Tracking and Alerting System, Applying Social Network Aided Efficient Live Streaming System for Reducing Server Overhead, Image Fusion of MRI Images Using Discrete Wavelet Transform, Probabilistic Flooding Based File Search in Peer to Peer Network, Multi Stage for Informative Gene Selection, Mutual Information in Stages for Informative Gene Selection, Computation of Mutual Information in Stages for Gene Selection from Microarray Data, and several other impactful studies in international journals and conferences indexed in Scopus, IEEE, and UGC; she has further contributed to innovation through consultancy projects such as AI-based pre-examination dental software and non-invasive sugar detection using eye retina, authored books and chapters including Fundamentals of Machine Learning, Management Analytics and Software Engineering, Recent Trends in Engineering and Technology – Edge Computing, and secured patents like Artificial Intelligence Based Heart Rate Monitoring Device for Sports Training, IOT Based Washing Machine for Agricultural Crops, Human Identity Recognition System Using Cloud Machine Learning and Deep Learning Algorithms, Gesture Based Anti-Rape Device, while also holding active memberships with IEEE, ISTE, IEI, UACEE, IAENG, and IACSIT; her academic journey has been marked by mentorship of award-winning projects, reviewer and session chair responsibilities in international conferences, and recognition such as the Best Faculty Advisor Award demonstrating her influence in advancing technology-driven solutions for healthcare, safety, smart systems, and education through research, teaching, patents, and community engagement.

Profile: Google Scholar

Featured Publications:

Sudhan, M. B., Sinthuja, M., Pravinth Raja, S., Amutharaj, J., & Rachel, S. S. Segmentation and Classification of Glaucoma Using U‐Net with Deep Learning Model. Journal of Healthcare Engineering, 2022 (1), Article ID 1601354.

Raja, S. P., & Rachel, S. S. Women’s Safety with a Smart Foot Device. Proceedings of the 4th International Conference on Computing and Communications Technologies (ICCCT).

Raj, S. P., Kavitha, N. S., Rachel, S. S., & Suganthi, P. Smart Hospitals E-Medico Management System. International Journal of Recent Technology and Engineering, 8 (3), 4651–4655.

Rachel, S., Buvana, C., & Srinithi, S. LEARNAUT – Upgraded Learning Environment and Web Application for Autism Environment Using AR-VR. Proceedings of the 7th International Conference on Computing, Communication, Control and Automation (ICCUBEA).

Godwin, S., & Rachel, S. Mental Health Monitoring Using Sentimental Analysis. Annals of the Romanian Society for Cell Biology, 25 (5), 4397–4404.

Rachel, S. S., Azhagumeena, S., Rajakumari, S., & Madhumidha, A. Autonomous Movable Packrat for Habitual Chores. International Journal of Engineering and Technology, 429–431.

Gracia, S. V. J. B., Ponsam, J. G., Rachel, S. S., & Gayathiri, R. Software Robot for Next Generation Industries Using RPA. In Hyperautomation for Next‐Generation Industries, 35–53.

Rachel, S., Saranya, A., & Yashika, R. Automated Driving License Testing System. Proceedings of the International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).

Sinthuja, M., Pravinth Raja, S., Rachel, S. S., & Suganthi, P. Vision Enhancement Using Image Processing. Grenze International Journal of Engineering & Technology (GIJET), 10.

Sinthuja, M., Buvana, C., & Srinithi, S. Trackme – Smart Watch for Women Safety. Proceedings of the International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).

Rachel, S. S., & Kumar, P. Edsys: A Smart Campus Management System. Proceedings of the 1st International Conference on Computational Science and Technology (ICCST).

Rachel, S. Facilitation of Multipurpose Gloves for Impaired People. International Journal of Scientific Research in Engineering and Management, 5.

Rachel, S. S. Detecting the Abandoned Borewell Using Image Processing. Journal of Critical Review, 7 (14).

Rachel, S. S. Adroit Limb – Brain Controlled Artificial Limb. Journal of Emerging Technologies and Innovative Research, 6 (4).

Rachel, S. S. Postal Bag Tracking and Alerting System. In Proceedings of the International Conference on Knowledge Discovery and Computational Intelligence.

Rachel, S. R., & Azhagmeena, S. Image Fusion of MRI Images Using Discrete Wavelet Transform. Frontiers of Current Trends in Engineering and Technology, ISBN: 978-1537313573.

Sheeba Rachel, S., Tharunna, S. N., & Agathiya, V. K. Applying Social Network Aided Efficient Live Streaming System for Reducing Server Overhead. In Proceedings of the National Conference on Instrumentation, Electrical and Electronics Engineering (NCIEEE)

Abebaw Agegne | Deep Learning | Best Researcher Award

Published on 12/09/202512/09/2025 by Mechanics Awards

Mr. Abebaw Agegne | Deep Learning | Best Researcher Award

Debark University | Ethiopia

Abebaw Agegne Engda is an Ethiopian scholar and academic who has devoted his professional career to the advancement of computer science education and research while fostering strong community engagement and service. He earned his Bachelor of Science degree in Computer Science from Debre Tabor University with high academic distinction, completing his studies with a focus on programming, systems, and applied computing. He later pursued a Master of Science degree in Computer Science at the University of Gondar, where he further deepened his knowledge of computational theory, advanced software systems, and the practical applications of computer science in solving real-world challenges. His academic excellence is demonstrated by his strong cumulative performance in both degrees, which reflect a commitment to rigor and perseverance. Professionally, he began his teaching journey as an Assistant Lecturer at Debark University, where he taught undergraduate computer science courses and contributed to shaping the foundational knowledge of young scholars. Later, he advanced to the position of Lecturer at Debark University, where he continues to teach computer science students across a variety of specializations, delivering core programming, system analysis, and applied computing courses while contributing to other departments with harmonized curriculum approaches. His students have consistently benefited from his structured teaching style, with many advancing to careers in high-level companies and industries, demonstrating the practical effectiveness of his teaching methodologies. He is capable of teaching a wide range of programming languages and has also been recognized for his leadership within his department, guiding academic processes, curriculum harmonization, and student development initiatives. His research works and community service contributions are documented and accessible through his ORCID profile, reflecting his engagement with both scholarly and societal responsibilities. Beyond academics, he is a person of discipline, patience, and strong work habits, qualities that enhance his ability to serve effectively in challenging environments and to maintain positive relationships with colleagues and students. He is fluent in Amharic and English, which allows him to engage in both local and international academic contexts, and his hobbies such as reading, traveling, counseling, and cultural exploration reflect a personality committed to lifelong learning, empathy, and service to others. Overall, his biography presents the portrait of a self-respecting, fair, and hardworking educator who combines academic achievement, teaching excellence, research contributions, and community service, making him a valuable asset in the advancement of computer science education in Ethiopia and beyond.

Profile: Orcid

Featured Publications:

Asnake, N. W., Ayalew, A. M., & Engda, A. A. (2025). Detection of oral squamous cell carcinoma cancer using AlexNet on histopathological images. Discover Applied Sciences.

Ayele, M. K., Baye, G. A., Yesuf, S. H., Engda, A. A., & Mitiku, E. T. (2025). Predicting stunting status among under five children in Ethiopia using ensemble machine learning algorithms. Scientific Reports.

Engda, A. A., Salau, A. O., & Ajala, O. (2025). Classical machine learning approaches for early hypertension risk prediction: A systematic review. Applied AI Letters.

Engda, A. A., Zewale, G. E., Mihret, B. G., & Adane, A. T. (2025). Developing pneumonia detection model using chest X-ray images: Deep learning approach. Preprint.

Engda, A. A. (2025). Detection of oral squamous cell carcinoma cancer using AlexNet on histopathological images. Conference paper.

Engda, A. A. (2025). Development of a case-based reasoning system for onion disease diagnosis and treatment. Proceedings of the IEEE International Conference on Emerging and Sustainable Technologies for Power and ICT in a Developing Society.

alain R THIERRY | Data Science and Deep Learning | Excellence in Research

Published on 19/09/202419/09/2024 by Mechanics Awards

Prof. alain R THIERRY | Data Science and Deep Learning | Excellence in Research

Director of Research, INSERM U1194, France

Dr. alain R THIERRY, a distinguished biologist, and cancer researcher, is a Director of Research at INSERM and a key figure at the Institut de Recherche en Cancérologie de Montpellier. With an impressive track record in molecular biology, gene therapy, and cancer research, Dr. alain R THIERRY has held numerous influential positions in academia and the biotechnology sector, including roles at NIH and Georgetown University. A prolific author and scientific leader, they have also founded biotech companies like MedinCell and DiaDx. Dr. alain R THIERRYcontinues to drive innovative therapeutic solutions, recognized by international honors and awards.

Publication Profile

scholar

Education🎓

2003: Habilitation à Diriger les Recherches (HDR) in Biology-Health, Université Montpellier II 1987: CES in Human Biology (Oncology), Faculté de Médecine Paris-Sud 1986: PhD in Biochemistry, Cellular & Molecular Pharmacology, Université Montpellier II 1983: MSc in Cellular & Molecular Biology, Université de Clermont-Ferrand II 1983: Diplôme d’Ingénieur, Université Clermont-Fd II 1982: BSc in Biological Sciences & Technology, Université Clermont-Fd

Professional Experience💼

208-present: Director of Research, INSERM, Institut de Recherche en Cancérologie, Montpellier 2001-2007: Associate Professor, Université Montpellier II2003-2004: Director of R&D, MedinCell SA, Montpellier 1997-2000: Scientific Director, Gene Therapy Dept., Biovector Therapeutics 1992-1996: Scientist, Tumor Cell Biology Lab, NCI/NIH, Bethesda 1992-1994: Adjunct Assistant Professor, Lombardi Cancer Institute, Washington DC 1988-1992: Postdoctoral Fellow, Lombardi Cancer Center, Georgetown University

Awards and Honors🏆

1994: Federal Technology Award, NIH, USA ($10,000) 2002: Prix National de l’Innovation, Ministry of Education and Research, Paris (€300,000) 2016: Grand Prix de l’Innovation Thérapeutique, Fondation B. Denys & FRM, Montpellier (€50,000) 2022: Finalist, Prix Innovation Unicancer 2022: Innovation Award, Montpellier Université Excellence

Research Focus 🔬

Molecular Oncology: Pioneer in understanding the molecular pathways of cancer and therapeutic gene delivery Gene Therapy: Focus on targeted gene therapy to treat cancers, with expertise in vectors and delivery systems Circulating DNA: Breakthrough research in non-invasive biomarkers for early cancer detection
Therapeutics Innovation: Key developer of novel therapeutic strategies, including drug delivery systems and cancer diagnostics
Collaborative Research: Strong interdisciplinary collaborations in biotechnology and cancer research

Publication Top Notes

Origins, structures, and functions of circulating DNA in oncology
AR Thierry, S El Messaoudi, PB Gahan, P Anker, M Stroun
Cancer and Metastasis Reviews, 2016 | 812 citations
Clinical validation of the detection of KRAS and BRAF mutations from circulating tumor DNA
AR Thierry, F Mouliere, S El Messaoudi, C Mollevi, E Lopez-Crapez
Nature Medicine, 2014 | 735 citations
Nomenclature for synthetic gene delivery systems
PL Felgner, Y Barenholz, JP Behr, SH Cheng, P Cullis, L Huang, AR Thierry
Human Gene Therapy, 1997 | 652 citations
High fragmentation characterizes tumour-derived circulating DNA
F Mouliere, B Robert, E Arnau Peyrotte, M Del Rio, M Ychou, F Molina, AR Thierry
PLOS One, 2011 | 627 citations
Circulating cell-free DNA: preanalytical considerations
S El Messaoudi, F Rolet, F Mouliere, AR Thierry
Clinica Chimica Acta, 2013 | 602 citations

Conclusion:

This individual is highly suitable for the Best Researcher Award. Their long-standing career in oncology research, leadership in both academic and biotech sectors, and recognition through awards place them in an elite category of researchers. Continued engagement in broader interdisciplinary fields and public communication could further elevate their profile. Overall, their qualifications, contributions, and leadership make them a strong candidate for excellence in research awards.